Adjusting Motion Capture Based on the Distance Between Tracked Objects

    公开(公告)号:US20220385804A1

    公开(公告)日:2022-12-01

    申请号:US17887378

    申请日:2022-08-12

    Inventor: David S. HOLZ

    Abstract: The technology disclosed relates to adjusting the monitored field of view of a camera and/or a view of a virtual scene from a point of view of a virtual camera based on the distance between tracked objects. For example, if the user's hand is being tracked for gestures, the closer the hand gets to another object, the tighter the frame can become—i.e., the more the camera can zoom in so that the hand and the other object occupy most of the frame. The camera can also be reoriented so that the hand and the other object remain in the center of the field of view. The distance between two objects in a camera's field of view can be determined and a parameter adjusted based thereon. In particular, the pan and/or zoom levels of the camera may be adjusted in accordance with the distance.

    Predictive Information for Free Space Gesture Control and Communication

    公开(公告)号:US20210256182A1

    公开(公告)日:2021-08-19

    申请号:US17308903

    申请日:2021-05-05

    Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.

    CUSTOMIZED GESTURE INTERPRETATION
    56.
    发明申请

    公开(公告)号:US20200241651A1

    公开(公告)日:2020-07-30

    申请号:US16848703

    申请日:2020-04-14

    Inventor: David S. HOLZ

    Abstract: The technology disclosed relates to filtering gestures, according to one implementation. In particular, it relates to distinguishing between interesting gestures from non-interesting gestures in a three-dimensional (3D) sensory space by comparing characteristics of user-defined reference gestures against characteristics of actual gestures performed in the 3D sensory space. Based on the comparison, a set of gestures of interest are filtered from all the gestures performed in the 3D sensory space. The technology disclosed also relates to customizing gesture interpretation for a particular user, according to another implementation. In particular, it relates to setting parameters for recognizing gestures by prompting the user to select values for characteristics of the gestures. In one implementation, the technology disclosed includes performing characteristic focused demonstrations of boundaries of the gesture. It further includes testing the interpretation of gestures by prompting the user to perform complete gesture demonstrations and receiving evaluation from the user regarding the interpretation.

    PREDICTIVE INFORMATION FOR FREE SPACE GESTURE CONTROL AND COMMUNICATION

    公开(公告)号:US20240143871A1

    公开(公告)日:2024-05-02

    申请号:US18406059

    申请日:2024-01-05

    CPC classification number: G06F30/20 G06F3/017 G06V20/64 G06V40/28

    Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.

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